%% Journal article
@article{fu2023improved,
	title={Improved dwarf mongoose optimization algorithm using novel nonlinear control and exploration strategies},
	author={Fu, Shengwei and Huang, Haisong and Ma, Chi and Wei, Jianan and Li, Yiting and Fu, Youfa},
	journal={Expert Systems with Applications},
	volume={233},
	pages={120904},
	year={2023},
	publisher={Elsevier}
}
@article{he2016tutorial,
	title={A tutorial and heuristic review on Lagrange multiplier for optimal problems},
	author={He, Ji-Huan},
	journal={Science},
	year={2016}
}
@article{nocedal2006conjugate,
	title={Conjugate gradient methods},
	author={Nocedal, Jorge and Wright, Stephen J},
	journal={Numerical optimization},
	pages={101--134},
	year={2006},
	publisher={Springer}
}
@article{ciripoi2018vector,
	title={A vector linear programming approach for certain global optimization problems},
	author={Ciripoi, Daniel and L{\"o}hne, Andreas and Wei{\ss}ing, Benjamin},
	journal={Journal of Global Optimization},
	volume={72},
	pages={347--372},
	year={2018},
	publisher={Springer}
}
@article{nurbekyan2023efficient,
	title={Efficient natural gradient descent methods for large-scale PDE-based optimization problems},
	author={Nurbekyan, Levon and Lei, Wanzhou and Yang, Yunan},
	journal={SIAM Journal on Scientific Computing},
	volume={45},
	number={4},
	pages={A1621--A1655},
	year={2023},
	publisher={SIAM}
}
@inproceedings{hassan2023meta,
	title={Meta-heuristic Algorithms in IoT-Based Application: A Systematic Review},
	author={Hassan, Alaa},
	booktitle={Proceedings of the Future Technologies Conference},
	pages={104--116},
	year={2023},
	organization={Springer}
}
@article{shen2023improved,
	title={An improved whale optimization algorithm based on multi-population evolution for global optimization and engineering design problems},
	author={Shen, Ya and Zhang, Chen and Gharehchopogh, Farhad Soleimanian and Mirjalili, Seyedali},
	journal={Expert Systems with Applications},
	volume={215},
	pages={119269},
	year={2023},
	publisher={Elsevier}
}
@article{abualigah2021aquila,
	title={Aquila optimizer: a novel meta-heuristic optimization algorithm},
	author={Abualigah, Laith and Yousri, Dalia and Abd Elaziz, Mohamed and Ewees, Ahmed A and Al-Qaness, Mohammed AA and Gandomi, Amir H},
	journal={Computers \& Industrial Engineering},
	volume={157},
	pages={107250},
	year={2021},
	publisher={Elsevier}
}
@article{de1988learning,
	title={Learning with genetic algorithms: An overview},
	author={De Jong, Kenneth},
	journal={Machine learning},
	volume={3},
	pages={121--138},
	year={1988},
	publisher={Springer}
}
@article{koza1992programming,
	title={On the programming of computers by means of natural selection},
	author={Koza, JRGP},
	journal={Genetic programming},
	year={1992},
	publisher={MIT press}
}
@article{storn1997differential,
	title={Differential evolution--a simple and efficient heuristic for global optimization over continuous spaces},
	author={Storn, Rainer and Price, Kenneth},
	journal={Journal of global optimization},
	volume={11},
	pages={341--359},
	year={1997},
	publisher={Springer}
}
@article{moosavi2019poor,
	title={Poor and rich optimization algorithm: A new human-based and multi populations algorithm},
	author={Moosavi, Seyyed Hamid Samareh and Bardsiri, Vahid Khatibi},
	journal={Engineering applications of artificial intelligence},
	volume={86},
	pages={165--181},
	year={2019},
	publisher={Elsevier}
}
@article{kumar2018socio,
	title={Socio evolution \& learning optimization algorithm: A socio-inspired optimization methodology},
	author={Kumar, Meeta and Kulkarni, Anand J and Satapathy, Suresh Chandra},
	journal={Future Generation Computer Systems},
	volume={81},
	pages={252--272},
	year={2018},
	publisher={Elsevier}
}
@article{bogar2020adolescent,
	title={Adolescent Identity Search Algorithm (AISA): A novel metaheuristic approach for solving optimization problems},
	author={Bogar, Esref and Beyhan, Selami},
	journal={Applied Soft Computing},
	volume={95},
	pages={106503},
	year={2020},
	publisher={Elsevier}
}
@article{rashedi2009gsa,
	title={GSA: a gravitational search algorithm},
	author={Rashedi, Esmat and Nezamabadi-Pour, Hossein and Saryazdi, Saeid},
	journal={Information sciences},
	volume={179},
	number={13},
	pages={2232--2248},
	year={2009},
	publisher={Elsevier}
}
@article{zheng2019water,
	title={Water wave optimization for combinatorial optimization: Design strategies and applications},
	author={Zheng, Yu-Jun and Lu, Xue-Qin and Du, Yi-Chen and Xue, Yu and Sheng, Wei-Guo},
	journal={Applied Soft Computing},
	volume={83},
	pages={105611},
	year={2019},
	publisher={Elsevier}
}
@article{goodarzimehr2023special,
	title={Special relativity search for applied mechanics and engineering},
	author={Goodarzimehr, Vahid and Talatahari, Siamak and Shojaee, Saeed and Hamzehei-Javaran, Saleh},
	journal={Computer Methods in Applied Mechanics and Engineering},
	volume={403},
	pages={115734},
	year={2023},
	publisher={Elsevier}
}

@article{mirjalili2016whale,
	title={The whale optimization algorithm},
	author={Mirjalili, Seyedali and Lewis, Andrew},
	journal={Advances in engineering software},
	volume={95},
	pages={51--67},
	year={2016},
	publisher={Elsevier}
}
@article{mirjalili2014grey,
	title={Grey wolf optimizer},
	author={Mirjalili, Seyedali and Mirjalili, Seyed Mohammad and Lewis, Andrew},
	journal={Advances in engineering software},
	volume={69},
	pages={46--61},
	year={2014},
	publisher={Elsevier}
}

@article{dhiman2019seagull,
	title={Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems},
	author={Dhiman, Gaurav and Kumar, Vijay},
	journal={Knowledge-based systems},
	volume={165},
	pages={169--196},
	year={2019},
	publisher={Elsevier}
}
@article{heidari2019harris,
	title={Harris hawks optimization: Algorithm and applications},
	author={Heidari, Ali Asghar and Mirjalili, Seyedali and Faris, Hossam and Aljarah, Ibrahim and Mafarja, Majdi and Chen, Huiling},
	journal={Future generation computer systems},
	volume={97},
	pages={849--872},
	year={2019},
	publisher={Elsevier}
}
@article{li2020slime,
	title={Slime mould algorithm: A new method for stochastic optimization},
	author={Li, Shimin and Chen, Huiling and Wang, Mingjing and Heidari, Ali Asghar and Mirjalili, Seyedali},
	journal={Future Generation Computer Systems},
	volume={111},
	pages={300--323},
	year={2020},
	publisher={Elsevier}
}

@article{xue2020novel,
	title={A novel swarm intelligence optimization approach: sparrow search algorithm},
	author={Xue, Jiankai and Shen, Bo},
	journal={Systems science \& control engineering},
	volume={8},
	number={1},
	pages={22--34},
	year={2020},
	publisher={Taylor \& Francis}
}

@article{faramarzi2020marine,
	title={Marine Predators Algorithm: A nature-inspired metaheuristic},
	author={Faramarzi, Afshin and Heidarinejad, Mohammad and Mirjalili, Seyedali and Gandomi, Amir H},
	journal={Expert systems with applications},
	volume={152},
	pages={113377},
	year={2020},
	publisher={Elsevier}
}
@article{abualigah2022reptile,
	title={Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer},
	author={Abualigah, Laith and Abd Elaziz, Mohamed and Sumari, Putra and Geem, Zong Woo and Gandomi, Amir H},
	journal={Expert Systems with Applications},
	volume={191},
	pages={116158},
	year={2022},
	publisher={Elsevier}
}
@article{hashim2022honey,
	title={Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems},
	author={Hashim, Fatma A and Houssein, Essam H and Hussain, Kashif and Mabrouk, Mai S and Al-Atabany, Walid},
	journal={Mathematics and Computers in Simulation},
	volume={192},
	pages={84--110},
	year={2022},
	publisher={Elsevier}
}
@article{dehghani2023coati,
	title={Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems},
	author={Dehghani, Mohammad and Montazeri, Zeinab and Trojovsk{\'a}, Eva and Trojovsk{\`y}, Pavel},
	journal={Knowledge-Based Systems},
	volume={259},
	pages={110011},
	year={2023},
	publisher={Elsevier}
}
@article{zhao2020manta,
	title={Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications},
	author={Zhao, Weiguo and Zhang, Zhenxing and Wang, Liying},
	journal={Engineering Applications of Artificial Intelligence},
	volume={87},
	pages={103300},
	year={2020},
	publisher={Elsevier}
}

@article{zhu2022application,
	title={Application of improved manta ray foraging optimization algorithm in coverage optimization of wireless sensor networks},
	author={Zhu, Fang and Wang, Wenhao and Li, Shan},
	journal={Computational Intelligence and Neuroscience},
	volume={2022},
	number={1},
	pages={3082933},
	year={2022},
	publisher={Wiley Online Library}
}
%application
@article{spea2024optimizing,
	title={Optimizing economic dispatch problems in power systems using manta ray foraging algorithm: an oppositional-based approach},
	author={Spea, SR},
	journal={Computers and Electrical Engineering},
	volume={117},
	pages={109279},
	year={2024},
	publisher={Elsevier}
}
@article{zhang2023manta,
	title={Manta ray foraging optimization algorithm with mathematical spiral foraging strategies for solving economic load dispatching problems in power systems},
	author={Zhang, Xing-Yue and Hao, Wen-Kuo and Wang, Jie-Sheng and Zhu, Jun-Hua and Zhao, Xiao-Rui and Zheng, Yue},
	journal={Alexandria Engineering Journal},
	volume={70},
	pages={613--640},
	year={2023},
	publisher={Elsevier}
}
@article{zhang2024ibmrfo,
	title={IBMRFO: Improved binary manta ray foraging optimization with chaotic tent map and adaptive somersault factor for feature selection},
	author={Zhang, Kunpeng and Liu, Yanheng and Wang, Xue and Mei, Fang and Kang, Hui and Sun, Geng},
	journal={Expert Systems with Applications},
	volume={251},
	pages={123977},
	year={2024},
	publisher={Elsevier}
}
@article{jena2021maximum,
	title={Maximum 3D Tsallis entropy based multilevel thresholding of brain MR image using attacking Manta Ray foraging optimization},
	author={Jena, Bibekananda and Naik, Manoj Kumar and Panda, Rutuparna and Abraham, Ajith},
	journal={Engineering Applications of Artificial Intelligence},
	volume={103},
	pages={104293},
	year={2021},
	publisher={Elsevier}
}
@article{ma2023manta,
	title={Manta ray foraging optimizer-based image segmentation with a two-strategy enhancement},
	author={Ma, Benedict Jun and Pereira, Jo{\~a}o Luiz Junho and Oliva, Diego and Liu, Shuai and Kuo, Yong-Hong},
	journal={Knowledge-Based Systems},
	volume={262},
	pages={110247},
	year={2023},
	publisher={Elsevier}
}

@article{zhu2023manta,
	title={Manta ray foraging optimization based on mechanics game and progressive learning for multiple optimization problems},
	author={Zhu, Donglin and Wang, Siwei and Zhou, Changjun and Yan, Shaoqiang},
	journal={Applied Soft Computing},
	volume={145},
	pages={110561},
	year={2023},
	publisher={Elsevier}
}
@article{qu2024improved,
	title={An improved manta ray foraging optimization algorithm},
	author={Qu, Pengju and Yuan, Qingni and Du, Feilong and Gao, Qingyang},
	journal={Scientific Reports},
	volume={14},
	number={1},
	pages={10301},
	year={2024},
	publisher={Nature Publishing Group UK London}
}
@article{liu2024efficient,
	title={An efficient manta ray foraging optimization algorithm with individual information interaction and fractional derivative mutation for solving complex function extremum and engineering design problems},
	author={Liu, Jingsen and Chen, Yang and Liu, Xiaoyu and Zuo, Fang and Zhou, Huan},
	journal={Applied Soft Computing},
	volume={150},
	pages={111042},
	year={2024},
	publisher={Elsevier}
}
@article{spea2024optimizing,
	title={Optimizing economic dispatch problems in power systems using manta ray foraging algorithm: an oppositional-based approach},
	author={Spea, SR},
	journal={Computers and Electrical Engineering},
	volume={117},
	pages={109279},
	year={2024},
	publisher={Elsevier}
}
@article{abd2021multi,
	title={A multi-leader whale optimization algorithm for global optimization and image segmentation},
	author={Abd Elaziz, Mohamed and Lu, Songfeng and He, Sibo},
	journal={Expert Systems with Applications},
	volume={175},
	pages={114841},
	year={2021},
	publisher={Elsevier}
}
@article{deep2007new,
	title={A new crossover operator for real coded genetic algorithms},
	author={Deep, Kusum and Thakur, Manoj},
	journal={Applied mathematics and computation},
	volume={188},
	number={1},
	pages={895--911},
	year={2007},
	publisher={Elsevier}
}
%newapplication
@article{abdullahi2023manta,
	title={Manta ray foraging optimization algorithm: Modifications and applications},
	author={Abdullahi, Mohammed and Hassan, Ibrahim Hayatu and Abdullahi, Muhammad Dalhat and Aliyu, Ibrahim and Kim, Jinsul},
	journal={IEEE access},
	volume={11},
	pages={53315--53343},
	year={2023},
	publisher={IEEE}
}

@article{wang2021novel,
	title={A novel hybrid particle swarm optimization using adaptive strategy},
	author={Wang, Rui and Hao, Kuangrong and Chen, Lei and Wang, Tong and Jiang, Chunli},
	journal={Information Sciences},
	volume={579},
	pages={231--250},
	year={2021},
	publisher={Elsevier}
}
%Chapter 3
@article{abd2021grunwald,
	title={A Grunwald--Letnikov based Manta ray foraging optimizer for global optimization and image segmentation},
	author={Abd Elaziz, Mohamed and Yousri, Dalia and Al-qaness, Mohammed AA and AbdelAty, Amr M and Radwan, Ahmed G and Ewees, Ahmed A},
	journal={Engineering Applications of Artificial Intelligence},
	volume={98},
	pages={104105},
	year={2021},
	publisher={Elsevier}
}


@article{derrac2011practical,
	title={A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms},
	author={Derrac, Joaqu{\'\i}n and Garc{\'\i}a, Salvador and Molina, Daniel and Herrera, Francisco},
	journal={Swarm and Evolutionary Computation},
	volume={1},
	number={1},
	pages={3--18},
	year={2011},
	publisher={Elsevier}
}
@article{singh2022mutation,
	title={Mutation-driven grey wolf optimizer with modified search mechanism},
	author={Singh, Shitu and Bansal, Jagdish Chand},
	journal={Expert systems with applications},
	volume={194},
	pages={116450},
	year={2022},
	publisher={Elsevier}
}
@article{wang2024improved,
	title={An improved golden jackal optimization algorithm based on multi-strategy mixing for solving engineering optimization problems},
	author={Wang, Jun and Wang, Wen-chuan and Chau, Kwok-wing and Qiu, Lin and Hu, Xiao-xue and Zang, Hong-fei and Xu, Dong-mei},
	journal={Journal of Bionic Engineering},
	volume={21},
	number={2},
	pages={1092--1115},
	year={2024},
	publisher={Springer}
}
@article{zhu2024dung,
	title={Dung beetle optimization algorithm based on quantum computing and multi-strategy fusion for solving engineering problems},
	author={Zhu, Fang and Li, Guoshuai and Tang, Hao and Li, Yingbo and Lv, Xvmeng and Wang, Xi},
	journal={Expert Systems with Applications},
	volume={236},
	pages={121219},
	year={2024},
	publisher={Elsevier}
}
@article{nadimi2024multi,
	title={Multi-trial Vector-based Whale Optimization Algorithm},
	author={Nadimi-Shahraki, Mohammad H and Farhanginasab, Hajar and Taghian, Shokooh and Sadiq, Ali Safaa and Mirjalili, Seyedali},
	journal={Journal of Bionic Engineering},
	volume={21},
	number={3},
	pages={1465--1495},
	year={2024},
	publisher={Springer}
}

%%============================================================================%%
%% while using chicago reference style, both abbreviated and expanded form of %%
%% author name format is acceptable. Refer below example for expanded form    %%
%%============================================================================%%

%%  author		= "{Cameron, Deborah}", - single author
%%  author		= "{Saito, Yukio} and {Hyuga, Hiroyuki}", - double author 

%%======================================%%
%% Example for author names with suffix %%
%%======================================%%

%%  author		= "{Price, R. A. Jr} and {Curry, N. {III}} and McCann, K. E. and 
%%					Fielding, J. L. and {Abercrombie, E. Jr}",
